Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth. DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters, 196B additional Engram parameters, and a 1M-token context window.
Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth.
DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters, 196B additional Engram parameters, and a 1M-token context window.
Long-horizon agents have turned LLM serving into an input-heavy workload.
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Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth. DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters, 196B additional Engram parameters, and a 1M-token context window. Long-horizon agents have turned LLM serving into an input-heavy workload.
DeepSeek AI built its newest release around that exact bottleneck.
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